Propose an alternative approach to compute the energy function that minimizes latency and explain the tradeoffs involved.

Implement a caching mechanism that stores pre-computed Markov chains for a certain period. This reduces the need to recompute Markov chains every gradient step, thus minimizing latency. However, this approach may require additional memory to store the cached Markov chains and may lead to stale model parameters if not updated frequently enough.